Palo Alto, CA, United States of America

Ryan Poplin

USPTO Granted Patents = 7 

 

Average Co-Inventor Count = 3.2

ph-index = 2

Forward Citations = 24(Granted Patents)


Location History:

  • Palo Alto, CA (US) (2019 - 2022)
  • Sunnyvale, CA (US) (2021 - 2023)

Company Filing History:


Years Active: 2019-2025

where 'Filed Patents' based on already Granted Patents

7 patents (USPTO):

Title: **Innovative Contributions of Ryan Poplin**

Introduction

Ryan Poplin, a prolific inventor based in Palo Alto, CA, is recognized for his significant contributions to technology through his innovative patents. With a total of six patents to his name, he continues to advance the fields of image processing and machine learning.

Latest Patents

Among his latest patents is the "High resolution real-time artistic style transfer pipeline." This invention encompasses systems and methods for processing images whereby a plurality of downscaling operations using separable convolutions are performed. It also includes forming residual blocks and displaying stylized images based on upscaling operations paired with reference images. Another notable patent is for "Processing fundus images using machine learning models." This invention focuses on the processing of fundus images with machine learning models to generate health analysis data from images of a patient’s eye.

Career Highlights

Ryan Poplin has made significant strides in his career by working with prominent companies such as Verily Life Sciences LLC and Google Inc. His roles at these organizations have helped foster the development of cutting-edge technologies in healthcare and artificial intelligence.

Collaborations

Throughout his career, Ryan has had the opportunity to collaborate with talented individuals like Mark Andrew DePristo and Lily Hao Yi Peng. These collaborations have undoubtedly contributed to the innovative outcomes of his inventions and patents.

Conclusion

Ryan Poplin exemplifies the role of a modern inventor. His contributions through patents in image processing and machine learning stand as a testament to his creativity and expertise. With a promising career ahead, his work is sure to inspire future innovations in technology.

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